MinMaxScaler

class aixd.data.transform.MinMaxScaler(target_range: tuple = (0, 1), per_column: bool = True)[source]

Implements a min-max scaling of the data.

Parameters:

target_range (tuple, default=(0, 1)) – The target range for the scaling.
per_column (bool, default=True) – If set normalization is performed per column for multi-dim DataObjects.

Methods

`inverse_transform`	Inverse transform of the input.
`is_fitted`	Returns true if transformation strategy is fitted.
`reset`	Method to implement to reset fitted values.
`transform`	Transforms the input.

Inherited Methods

`copy`	Copies the transformation.
`fit`	Fits the transformation.
`fit_transform`	Fits and transforms the input.